system

Abstract

We provide the system. [Solution] A management system that notifies local residents of the waste disposal schedule by retrieving resident information from a database and sending reminders via appropriate communication means, A tracking system that provides residents with real-time location information of waste collection machines, A scheduling tool that collects participants' schedule data to coordinate the date and time of local community meetings and provides the optimal date, A voice analysis method that automatically records and transcribes the content of the participants' meeting, A health management system that monitors the health status of the elderly and children and provides reminders as needed, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 [[ID=!0]] 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance. 【Prior Art Documents】 【Patent Documents】 [[ID=2!0]] 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 <! In the activities of the local community, the operation is hindered due to a shortage of manpower and a decline in efficiency. In particular, a wide variety of tasks, such as the schedule management of waste disposal, the schedule adjustment of meetings, and the monitoring of health conditions, are burdening local residents and related parties, which may hamper the activation of the region and the safe and secure life of residents. Therefore, an appropriate solution for improving the efficiency of these tasks and reducing the burden on residents and related parties is required. 【Means for Solving the Problems】 【0005】 It should be noted that in the above translation, the "!0" in "!0000025" and "!0000024" is likely an incorrect character in the original text. If this is a specific code or symbol with a known meaning, it should be translated accurately according to its actual meaning. Here, it is translated as it is for the purpose of showing the translation process.This invention provides an AI-powered system to streamline local community activities. The system includes management means for notifying local residents of waste disposal schedules via appropriate communication methods. It also includes tracking means for providing residents with real-time location information of waste collection machines. Furthermore, it includes scheduling means for coordinating and providing optimal meeting times for local communities, and voice analysis means for automatically recording and transcribing speech. In addition, it provides health management means for monitoring the health status of the elderly and children and providing reminders as needed, thereby reducing the burden on residents. 【0006】 "Local residents" refers to individual people who live in a specific area and are members who participate in local activities and community management. 【0007】 "Waste management" refers to a series of operations that include the collection, transportation, and proper disposal of waste. 【0008】 "Management means" refers to functions that effectively organize information and provide users with notifications and instructions at the appropriate time. 【0009】 "Tracking means" refers to a function that identifies the current location of a moving object in real time and provides that information to the user. 【0010】 "Scheduling method" refers to the process or function of determining the optimal date and time while considering the schedules of multiple participants. 【0011】 "Speech analysis means" refers to a function that records or organizes information by digitally processing speech data and converting it into text data. 【0012】 "Health management tools" refer to systems and functions that continuously monitor an individual's health status and provide feedback and notifications as needed. [Brief explanation of the drawing] 【0013】 [Figure 1]This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0014】 Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings. 【0015】 First, the terms used in the following description will be explained. 【0016】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0017】 In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0018】 In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc. 【0019】 In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc. 【0020】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0021】 [First Embodiment] 【0022】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0023】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0024】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0025】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0026】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0027】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0028】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0029】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0030】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0031】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0032】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0033】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0034】 This invention is an integrated system that utilizes AI to streamline community activities. The system is connected by a network consisting of servers and terminals and is installed in individual homes and community centers. 【0035】 The server maintains a database containing information on local residents and uses this information to notify residents of their waste disposal schedules. Based on the local waste collection schedule, the server sends notifications at times that are appropriate for residents' schedules. For example, using the obtained resident information, it can send a reminder the day before waste collection using an email address or phone number. Users receive notifications and check their waste collection schedules using their smartphones or computers. This ensures that residents do not forget to prepare their waste. 【0036】 Furthermore, the server acquires GPS data for the location of waste collection vehicles and centrally manages it, providing residents with real-time location information for the vehicles. Users can view this information in map format through their devices and predict the arrival time of the collection vehicles. 【0037】 Furthermore, the server also provides a scheduling function for local community meetings. The server collects participants' calendar information and analyzes the most convenient dates and times for each participant to schedule the meeting. The server then sends a notification to residents again with the confirmed optimal date and time, and sends an invitation to encourage participation in the meeting. Participants can receive the notification on their smartphones or other devices and easily register to participate. 【0038】 Furthermore, during meetings and conferences, the terminals record audio, and the server analyzes the data to automatically convert it from speech to text. The resulting meeting minutes are then shared with all participants and used for future reference. 【0039】 The server also handles health management functions to support the health of the elderly and children. Users send their health data from their devices to the server, recording their daily health status. The server analyzes this data and notifies the user with appropriate advice if an abnormality is detected. For example, based on data such as blood pressure and body temperature, a notification recommending a visit to a medical institution may be sent. 【0040】 As a whole, this system, with its integrated AI agent, can streamline daily community activities and effectively reduce the burden on residents. 【0041】 The following describes the processing flow. 【0042】 Step 1: 【0043】 The server retrieves the local waste collection schedule from a database. It manages and confirms the collection dates for each type of waste. 【0044】 Step 2: 【0045】 The server accesses the resident database and retrieves each resident's contact information (email address, phone number, etc.). 【0046】 Step 3: 【0047】 The server confirms that the following day is a waste collection day and generates a reminder message for the relevant residents at a pre-set time. 【0048】 Step 4: 【0049】 Reminder messages are sent based on the user's registered communication method (email, SMS, or in-app notification). The server specifies this communication method when sending the message. 【0050】 Step 5: 【0051】 The device notifies the user of reminder messages received from the server. The user checks the collection date through the device's notification function. 【0052】 Step 6: 【0053】 The server periodically acquires GPS data from waste collection vehicles in order to track their location in real time. 【0054】 Step 7: 【0055】 The server projects the collected GPS data onto a map, allowing for visual management of the current location of the collection vehicles. 【0056】 Step 8: 【0057】 Users can use a terminal to check the actual location of the collection truck. The terminal displays this information on a map, allowing users to determine the optimal time to put out their waste. 【0058】 (Example 1) 【0059】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0060】 In modern communities, residents often forget waste disposal schedules or struggle to coordinate meetings. Furthermore, managing the health of the elderly and children can become a daily burden. Addressing these issues is crucial for improving the quality of life for community residents. 【0061】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0062】 In this invention, the server includes a notification means that extracts information from data storage that stores information on local residents and notifies them of the schedule using the most suitable communication means; a location information management means that acquires the location of mobile collection equipment in real time and provides it to residents; and a meeting adjustment means that aggregates the time data of participants and calculates the most convenient meeting date and time. As a result, local residents can easily manage the schedule of waste disposal and meetings, and their health status is also supported, enabling them to live their lives with peace of mind. 【0063】 "Notification method" refers to a function that selects the most suitable communication method based on information about local residents and notifies them of the schedule. 【0064】 "Location information management means" refers to a function that acquires real-time location data of mobile collection devices and provides that information to residents. 【0065】 A "meeting scheduling tool" is a function that collects participants' schedule information and calculates and proposes the most suitable meeting date and time. 【0066】 "Audio processing means" refers to a function for analyzing audio recorded during a meeting, transcribing it into text, and sharing it. 【0067】 "Health maintenance tools" refer to a function that collects and analyzes the user's health information and provides appropriate advice if any abnormalities are found. 【0068】 "Data storage" refers to a storage device used to store information about local residents. 【0069】 "Mobile collection equipment" is a term that refers to vehicles or devices used for collecting waste and resources. 【0070】 "Participants" refers to people who attend meetings or events of the local community. 【0071】 The embodiments for carrying out this invention are shown below. 【0072】 This system is an integrated system designed to streamline community activities, supporting services such as information dissemination to local residents, waste collection management, scheduling of community meetings, and health data management. The system primarily provides various services through data exchange between servers, terminals, and users. 【0073】 Hardware and software to be used 【0074】 The server stores and accumulates information about local residents using data storage. This could be done using, for example, a cloud-based database system. The server also uses generative AI models to perform voice analysis and optimize scheduling. 【0075】 The devices include smartphones and personal computers, and are used to display notifications from the server to the user. These devices are connected to the internet and communicate with the server in real time. 【0076】 Users record their health data using smartphones or wearable devices and transmit it to a server via their devices. Wearable devices can measure data such as heart rate, blood pressure, and body temperature. 【0077】 Data processing and data calculation 【0078】 The server extracts resident information from data storage and, based on this information, selects the most appropriate notification method to notify residents of their schedule. For example, it uses an AI model to generate and send emails or SMS messages. The location information of waste collection vehicles is obtained from GPS data and plotted on a map by a location information management system. 【0079】 The server also analyzes participants' schedule information and uses AI to calculate and suggest the optimal meeting date and time. Audio data is recorded using terminals during the meeting and converted to text by the server's audio processing system. 【0080】 Furthermore, through health maintenance measures, the server analyzes the user's health information and generates notifications containing appropriate advice if any abnormalities are detected. 【0081】 Specific example 【0082】 For example, when using a generative AI model to create a waste collection reminder, the prompt message might look like this: "Create a waste collection reminder for residents. Use the specified date and resident contact information." 【0083】 Thus, this system functions as a multi-functional platform to facilitate daily community activities and plays a role in supporting the lives of local residents. 【0084】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0085】 Step 1: 【0086】 The server extracts information about local residents from data storage. It takes resident attribute information (name, address, email address, phone number, etc.) as input. The server selects an appropriate notification method from this information and generates a pre-defined prompt message using a generation AI model. The output is the text of the email or SMS message required for notification. 【0087】 Step 2: 【0088】 The server receives GPS data from waste collection vehicles in real time. It obtains location coordinate data as input. The server uses a location information management system to plot this location on a map and transfers it to the user's terminal. As output, it generates location information that can be displayed on a map. 【0089】 Step 3: 【0090】 The server collects schedule data from each participant. It takes the user's calendar information as input. Based on this information, the server uses AI to calculate the optimal meeting date and generates a prompt message. The output is a suggested date and time for the meeting. 【0091】 Step 4: 【0092】 The terminal records audio during the meeting. It captures audio data from the meeting as input. This audio data is sent to a server and converted to text by an audio processing device. The output is a written transcript of the meeting content. 【0093】 Step 5: 【0094】 Users record their health information using wearable devices or smartphones. The input includes health data such as heart rate, blood pressure, and body temperature. The server receives this data and analyzes it using health maintenance tools. If an abnormality is detected, an alert notification is generated for the user. The output generates feedback about the abnormal health status. 【0095】 (Application Example 1) 【0096】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0097】 In local communities, there is a need to efficiently manage and provide a wide range of information to facilitate residents' daily lives, such as waste disposal schedules, meeting scheduling, and health management for the elderly and children. However, because this information is scattered, it is difficult for residents to use and places a heavy burden on them. 【0098】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0099】 In this invention, the server includes control means for notifying local communities of waste disposal plans, information integration means for centrally managing information on local activities, and notification means for users to receive real-time location information and health management notifications on their terminals. This allows local residents to receive important information related to their daily lives in one place and improve the efficiency of their lives. 【0100】 A "community group" refers to a collection of residents or users who live together in a specific geographical area. 【0101】 A "waste management plan" refers to information that includes a schedule of collection dates and methods necessary for a community to efficiently manage waste. 【0102】 An "information base" is a digital data storage system for accumulating various types of data related to a local community. 【0103】 "Information integration means" are technological means for aggregating and centrally managing diverse information within a local community. 【0104】 "Information and communication means" refers to communication technologies and media used to transmit specific information between users. 【0105】 "Control means" refers to a technology or process for managing and operating specific functions or tasks within a system. 【0106】 "Tracking means" refers to technologies that monitor and record the dynamic location and state of specific objects or data in real time. 【0107】 "Planning data" refers to schedule information related to group activities and individual appointments. 【0108】 "Terminal" refers to various devices used by information systems and users for interaction. 【0109】 "Notification means" refers to a technology or method for transmitting specific information to a target user. 【0110】 "Speech analysis means" refers to technology that analyzes speech data and converts it into text data or other formats as needed. 【0111】 "Health management tools" are technologies that monitor the health status of a group and provide alerts and advice as needed. 【0112】 To realize this invention, the system utilizes a central server, terminals distributed to users, and a communication network connecting them. The server stores information about local groups in an information base and uses it to provide various services. The software running on the server includes a backend program based on the Django framework and numerous APIs that support information tracking and notification sending. Google® Maps API is used for real-time location information, and Google Cloud Speech-to-Text is used for speech analysis. 【0113】 The devices are primarily the user's smartphone or smart glasses, and they run applications developed using React Native. This application centrally manages information on local activities and provides this information to users in real time. For example, the device displays waste disposal plans received from the server and provides reminders. Furthermore, it can display the current location of waste collection vehicles on a map and update the location in real time. 【0114】 Users can optimize their daily lives based on information delivered by the system. For the elderly and children, daily health data can be monitored through the health management function, and necessary alerts can be received if abnormalities are detected. These notifications are displayed as push notifications on the device, prompting consultation with a specialist if necessary. 【0115】 For example, even while a user is wearing smart glasses and taking a walk, they can check the location and arrival time of a garbage truck as an image and receive real-time notifications based on their personal health data. 【0116】 Examples of prompts include "Please tell me the waste collection date for next week" or "Please tell me the dates of any meetings I can attend." In this way, community activities can be efficiently managed using a generative AI model. 【0117】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0118】 Step 1: 【0119】 The server retrieves information about local communities from an information base. This information primarily includes residents' contact information, waste disposal schedules, meeting schedules, participant schedules, and health data. The input data is raw data from the information base, and the server processes it into the necessary format for use as schedule information and reminder notifications. 【0120】 Step 2: 【0121】 The server generates a reminder for each user regarding their waste disposal schedule, based on the waste disposal schedule. The generated reminders are sent through the residents' means of communication (e.g., email or push notifications). The input is schedule information, which the server appropriately converts for communication and outputs notification information. 【0122】 Step 3: 【0123】 The server tracks the location of waste collection vehicles using the Google Maps API and obtains their location information in real time. The user's device displays this information on a map and provides an estimate of the collection vehicle's arrival time. The input is location data, which the server outputs after retrieving the data via the API and converting it to a map format. 【0124】 Step 4: 【0125】 The user terminal receives and displays optimal date and time notifications sent from the server to assist in scheduling local community meetings. The input is the adjusted schedule information, which the terminal formats and outputs for display on the user interface. 【0126】 Step 5: 【0127】 The user's terminal records the audio during the meeting and sends the audio data to the server. The server uses Google Cloud Speech-to-Text to automatically transcribe the audio into text and generate meeting minutes. The input is audio data, which the server converts into text data and outputs. 【0128】 Step 6: 【0129】 The server analyzes health data received from each user and sends notifications to the user, such as alerts or recommendations to consult a doctor, if any abnormalities are detected. The input is daily health data, which the server processes using an analysis algorithm and outputs as notification information. 【0130】 Step 7: 【0131】 The user views various notifications received from the server on their device and takes action as needed. The device provides appropriate feedback to the user's actions. Input is notification information from the server, and output is generated based on the user's actions. 【0132】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0133】 This invention is configured as an AI system to streamline community activities and improve the quality of life for residents. The system is designed around a server, terminal, and user interface, providing a multi-functional platform for smoothly carrying out various tasks within local communities. 【0134】 In addition to its main functions of managing waste disposal schedules, coordinating meetings, and health management, the system now incorporates a new emotion engine that recognizes user emotions. This emotion engine allows the system to identify the user's emotional state and provide services and feedback accordingly. 【0135】 The server collects various information about local residents and stores it in a database. For waste disposal schedule notifications, the server uses resident data to select a preferred communication method and sends reminders. Residents receive notifications via their devices and can manage their waste appropriately. 【0136】 The emotion engine acquires voice and text data through the user's device and analyzes it on the server. This analysis allows the system to identify the user's emotional state and provide information and suggestions tailored to that state. For example, if the user is feeling stressed, it can suggest relaxing activities or health-related guidance. 【0137】 This allows the server to provide timely and appropriate support in various aspects of daily life, improving user satisfaction and quality of life. Furthermore, by comprehensively evaluating the user's physical and emotional state, it enables an approach based on the relationship between health and emotions, contributing to overall health management. 【0138】 As a concrete example of its use, when a user engages in everyday conversation, the emotion engine analyzes their voice, and the server reflects the results in a health management system. If it determines that stress levels are high, the server notifies the user of relaxation techniques. In this way, the system supports local residents, making their daily lives safer and more fulfilling. 【0139】 The following describes the processing flow. 【0140】 Step 1: 【0141】 The server prepares a platform for centrally collecting user voice and text data. This data is received in real time when the user accesses the system and begins voice input. 【0142】 Step 2: 【0143】 The device records the user's voice data, converts it to text, and sends it to the server. This conversion is designed to allow the user to use the interface in a more natural way. 【0144】 Step 3: 【0145】 The server sends the received audio and text data to the emotion engine for analysis. The emotion engine processes this data to determine the user's emotional state. 【0146】 Step 4: 【0147】 The emotional state analyzed by the emotion engine is returned to the server. Based on the obtained emotional state information, the server prepares appropriate feedback and suggestions for the user. 【0148】 Step 5: 【0149】 The server sends notifications to the user's device based on the results. For example, if the user is feeling stressed, it might send messages such as "Here's how to take deep breaths to relax" or "We recommend a short walk." 【0150】 Step 6: 【0151】 Users receive notifications from the server through their devices and modify or improve their behavior based on that feedback. This improves their quality of life. 【0152】 Step 7: 【0153】 The server continuously collects user feedback and uses it to fine-tune the performance of the sentiment engine. This data forms the foundation for providing more personalized support in the long term. 【0154】 (Example 2) 【0155】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0156】 In modern communities, there is a need to provide personalized information and services to individual residents, but traditional systems are insufficient to provide efficient and effective support in areas closely related to daily life, such as waste management, community coordination, and healthcare. Furthermore, there is a challenge in providing individualized support that takes emotional states into consideration. 【0157】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0158】 In this invention, the server includes a management means that retrieves resident information from a storage device and notifies residents of the waste disposal schedule via an electronic communication device; a scheduling means that collects participants' schedule information and suggests appropriate meeting dates; and an emotion analysis means that analyzes the user's voice and text data, identifies emotional information, and provides appropriate services. This makes it possible to provide personalized notifications and services to local residents, thereby improving their quality of life. 【0159】 "Resident information" refers to data about individual residents in a local community, including contact information and preferred means of communication. 【0160】 A "communication device" is a means of sending and receiving information via an electronic device, enabling things like email, SMS, and app notifications. 【0161】 "Waste disposal schedules" refer to the schedules indicating the days when waste collection takes place within a region, and are essential information for residents to properly dispose of their waste. 【0162】 "Schedule information" refers to data showing the schedules of participants in the local community, and is used to coordinate meeting dates. 【0163】 A "meeting day" refers to a day when multiple participants agree to gather, and it is the most suitable date that has been coordinated. 【0164】 "Emotional information" refers to information about a user's psychological state obtained by analyzing their voice and text data, and is useful for understanding their state in daily life. 【0165】 "Emotional analysis methods" refer to processes and technologies that identify a person's emotional state based on data acquired from the user, enabling the provision of appropriate feedback and services. 【0166】 In its embodiment, this system is comprised primarily of a server, terminals, and user interfaces. This system is a multi-functional platform for efficiently providing information and services to residents of a local community. 【0167】 The server collects and stores data using storage devices to centrally manage resident information. A database system such as MySQL® is used for this purpose. The server operates by interfacing with electronic communication devices such as email, SMS gateways, and mobile apps to send notifications based on the contact methods registered by residents. 【0168】 The terminal functions as an interface for users to input voice and text information. Mainstream computing devices such as smartphones and tablets are used as terminals. This allows users to provide everyday emotional information, which the terminal then sends to a server. 【0169】 The generative AI model is built to analyze speech and text data and is implemented using the natural language processing library NLTK, the sentiment analysis library TextBlob, and the Python programming language. This identifies the user's emotional state and generates feedback based on the results. 【0170】 For example, suppose a user types "I'm so tired from work today" on their smartphone at the end of the day. The device sends this text data to a server, where a generative AI model analyzes it. An example of a prompt might be, "Analyze the user's voice data to identify their emotional state and provide appropriate feedback." Based on this analysis, the server provides feedback to the user such as, "You might want to try a short meditation." This allows residents to live more fulfilling lives. 【0171】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0172】 Step 1: 【0173】 The server retrieves local residents' personal information and preferred communication methods from storage devices and stores them in a database. The input includes the resident's registered name, address, contact information, and preferred communication methods. The server then organizes this information and stores it in the database. Specifically, the server automatically records the information collected during resident registration into a MySQL database. 【0174】 Step 2: 【0175】 The server manages waste collection schedules based on information in the database and creates appropriate reminders based on registered communication methods. Inputs include waste collection schedules and residents' preferred communication methods, and the server outputs notifications via email or SMS. Specifically, the server automatically retrieves regularly updated waste collection schedules and sends reminders to residents according to pre-configured rules. 【0176】 Step 3: 【0177】 The user inputs voice or text data via the device. This input includes user statements and recorded journal entries, and the device then outputs this data to a server for sentiment analysis. Specifically, the user uses their smartphone's microphone to make emotional statements, which are then converted into text and sent to the server. 【0178】 Step 4: 【0179】 The server passes the received audio or text data to a generating AI model for emotional analysis. The input is the user's audio or text data, which is then output as an analysis result based on their emotional state. Specifically, it utilizes TextBlob, a Python-based emotion analysis library, to determine positive, negative, or neutral emotions from the input data. 【0180】 Step 5: 【0181】 The server provides users with appropriate feedback and services based on the analysis results. It takes user emotional state data as input and outputs such as health advice and relaxation suggestions. Specifically, for users experiencing high stress levels, it automatically generates suggestions such as, "Try meditating for 10 minutes today," and notifies the user's device. 【0182】 (Application Example 2) 【0183】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0184】 To improve the efficiency of community activities and enhance the quality of life for residents, it is necessary to smoothly integrate multiple elements such as waste management, community scheduling, health monitoring, and understanding individual emotional states. However, the current system, which manages these elements separately, is inefficient and makes it difficult to provide appropriate and timely support to residents. 【0185】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0186】 In this invention, the server includes a management means that retrieves resident information from a database and sends reminders via appropriate communication means to notify local residents of the waste disposal schedule; a tracking means that provides residents with real-time location information of waste collection means; a scheduling management means that collects participants' schedule data to coordinate community meeting schedules and provides optimal dates; a speech recognition means that automatically records and transcribes the content of participants' meetings; a health management means that monitors the health status of the elderly and children and provides reminders as needed; and an emotion analysis means that analyzes the user's emotional state and provides information and suggestions based on that state. This makes it possible to provide integrated and efficient life support to local residents. 【0187】 A "management system" is a system that has the function of obtaining resident information from a database and sending reminders via appropriate communication means in order to notify local residents of the waste disposal schedule. 【0188】 A "tracking device" is a device that has the function of providing residents with real-time location information of waste collection devices. 【0189】 A "schedule management system" is a device that collects participants' availability data and provides the optimal schedule for coordinating meetings within a local community. 【0190】 "Voice recognition means" refers to a device that has the function of automatically recording and transcribing the content of the participants' meeting into text. 【0191】 A "health management tool" is a device that monitors the health status of the elderly and children and provides reminders as needed. 【0192】 An "emotion analysis tool" is a device that analyzes a user's emotional state and provides information and suggestions based on that state. 【0193】 This invention is an integrated system designed to improve the living environment of a region, and is capable of notifying local residents about waste disposal, managing meeting schedules, monitoring health conditions, and analyzing emotional states. 【0194】 The server retrieves information on local residents from a database and sends reminders about waste disposal schedules using appropriate communication methods. Google Cloud's communication API can be used for this purpose. Furthermore, GPS technology is utilized to provide real-time location information for waste collection methods. 【0195】 The device collects participants' schedule data and suggests the optimal date to coordinate local meeting times. This uses cloud-based scheduling software. To record and transcribe the meeting content, it utilizes a speech recognition API and converts the information into text through a natural language processing library. 【0196】 Users report their daily health status via their devices and receive reminders and necessary advice through health management tools. The health data is stored in the cloud, and Azure® machine learning services are used for analysis. 【0197】 Furthermore, the device is equipped with emotion analysis capabilities that analyze the user's voice and text to determine their emotional state. For example, if the user is feeling anxious, a generative AI model is used to suggest activities for relaxation. 【0198】 For example, if a user says something like, "I'm a little tired today," the emotion engine analyzes this statement and supports the user by recommending things like listening to music or meditating. 【0199】 An example of a prompt for a generative AI model is, "If the user is feeling stressed, please suggest some effective relaxation methods." 【0200】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0201】 Step 1: 【0202】 The server queries the resident information database to extract waste disposal schedules. The input is the resident information database, and the output is the waste disposal schedule for each resident. Based on the information from the database, it generates appropriate reminders. 【0203】 Step 2: 【0204】 The server selects the appropriate communication method and sends a waste disposal reminder to the resident's terminal. The input is the waste disposal schedule obtained in step 1, and the output is the reminder notification displayed on the resident's terminal. A communication API is used to send notifications in a format that suits the user's preferences. 【0205】 Step 3: 【0206】 The terminal collects participants' schedule data and sends it to the server. The input is each participant's schedule, and the output is aggregated data of the participants' schedules. This aggregated data is used to calculate the optimal meeting date. 【0207】 Step 4: 【0208】 The server uses a speech recognition API to convert audio data acquired during a meeting into text. The input is audio data, and the output is the transcribed meeting content. The system analyzes the audio signal and automatically transcribes important meeting minutes into text. 【0209】 Step 5: 【0210】 Users input their daily health status into a device and send it to the server. The input is health status data, and the output is a health status report. The health management system analyzes this data and provides necessary advice and reminders. 【0211】 Step 6: 【0212】 The device analyzes the user's voice and text and uses emotion analysis tools to determine their emotional state. Input is voice or text data, and output is emotional state evaluation data. A generative AI model analyzes this data to generate suggestions such as relaxation activities. 【0213】 Step 7: 【0214】 The server sends the generated suggestions to the terminal, providing support information to the user. The input is the suggestion data from the generating AI model, and the output is the suggested content displayed on the terminal. The notification function allows users to receive appropriate support immediately. 【0215】 The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data. 【0216】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0217】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0218】 [Second Embodiment] 【0219】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0220】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0221】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0222】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0223】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0224】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0225】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0226】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0227】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0228】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0229】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0230】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0231】 This invention is an integrated system that utilizes AI to streamline community activities. The system is connected by a network consisting of servers and terminals and is installed in individual homes and community centers. 【0232】 The server maintains a database containing information on local residents and uses this information to notify residents of their waste disposal schedules. Based on the local waste collection schedule, the server sends notifications at times that are appropriate for residents' schedules. For example, using the obtained resident information, it can send a reminder the day before waste collection using an email address or phone number. Users receive notifications and check their waste collection schedules using their smartphones or computers. This ensures that residents do not forget to prepare their waste. 【0233】 Furthermore, the server acquires GPS data for the location of waste collection vehicles and centrally manages it, providing residents with real-time location information for the vehicles. Users can view this information in map format through their devices and predict the arrival time of the collection vehicles. 【0234】 Furthermore, the server also provides a scheduling function for local community meetings. The server collects participants' calendar information and analyzes the most convenient dates and times for each participant to schedule the meeting. The server then sends a notification to residents again with the confirmed optimal date and time, and sends an invitation to encourage participation in the meeting. Participants can receive the notification on their smartphones or other devices and easily register to participate. 【0235】 Furthermore, during meetings and conferences, the terminals record audio, and the server analyzes the data to automatically convert it from speech to text. The resulting meeting minutes are then shared with all participants and used for future reference. 【0236】 The server also handles health management functions to support the health of the elderly and children. Users send their health data from their devices to the server, recording their daily health status. The server analyzes this data and notifies the user with appropriate advice if an abnormality is detected. For example, based on data such as blood pressure and body temperature, a notification recommending a visit to a medical institution may be sent. 【0237】 As a whole, this system, with its integrated AI agent, can streamline daily community activities and effectively reduce the burden on residents. 【0238】 The following describes the processing flow. 【0239】 Step 1: 【0240】 The server retrieves the local waste collection schedule from a database. It manages and confirms the collection dates for each type of waste. 【0241】 Step 2: 【0242】 The server accesses the resident database and retrieves each resident's contact information (email address, phone number, etc.). 【0243】 Step 3: 【0244】 The server confirms that the following day is a waste collection day and generates a reminder message for the relevant residents at a pre-set time. 【0245】 Step 4: 【0246】 Reminder messages are sent based on the user's registered communication method (email, SMS, or in-app notification). The server specifies this communication method when sending the message. 【0247】 Step 5: 【0248】 The device notifies the user of reminder messages received from the server. The user checks the collection date through the device's notification function. 【0249】 Step 6: 【0250】 The server periodically acquires GPS data from waste collection vehicles in order to track their location in real time. 【0251】 Step 7: 【0252】 The server projects the collected GPS data onto a map, allowing for visual management of the current location of the collection vehicles. 【0253】 Step 8: 【0254】 Users can use a terminal to check the actual location of the collection truck. The terminal displays this information on a map, allowing users to determine the optimal time to put out their waste. 【0255】 (Example 1) 【0256】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0257】 In modern communities, residents often forget waste disposal schedules or struggle to coordinate meetings. Furthermore, managing the health of the elderly and children can become a daily burden. Addressing these issues is crucial for improving the quality of life for community residents. 【0258】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0259】 In this invention, the server includes a notification means that extracts information from data storage that stores information on local residents and notifies them of the schedule using the most suitable communication means; a location information management means that acquires the location of mobile collection equipment in real time and provides it to residents; and a meeting adjustment means that aggregates the time data of participants and calculates the most convenient meeting date and time. As a result, local residents can easily manage the schedule of waste disposal and meetings, and their health status is also supported, enabling them to live their lives with peace of mind. 【0260】 "Notification method" refers to a function that selects the most suitable communication method based on information about local residents and notifies them of the schedule. 【0261】 "Location information management means" refers to a function that acquires real-time location data of mobile collection devices and provides that information to residents. 【0262】 A "meeting scheduling tool" is a function that collects participants' schedule information and calculates and proposes the most suitable meeting date and time. 【0263】 "Audio processing means" refers to a function for analyzing audio recorded during a meeting, transcribing it into text, and sharing it. 【0264】 "Health maintenance tools" refer to a function that collects and analyzes the user's health information and provides appropriate advice if any abnormalities are found. 【0265】 "Data storage" refers to a storage device used to store information about local residents. 【0266】 "Mobile collection equipment" is a term that refers to vehicles or devices used for collecting waste and resources. 【0267】 "Participants" refers to people who attend meetings or events of the local community. 【0268】 The embodiments for carrying out this invention are shown below. 【0269】 This system is an integrated system designed to streamline community activities, supporting services such as information dissemination to local residents, waste collection management, scheduling of community meetings, and health data management. The system primarily provides various services through data exchange between servers, terminals, and users. 【0270】 Hardware and software to be used 【0271】 The server stores and accumulates information about local residents using data storage. This could be done using, for example, a cloud-based database system. The server also uses generative AI models to perform voice analysis and optimize scheduling. 【0272】 The devices include smartphones and personal computers, and are used to display notifications from the server to the user. These devices are connected to the internet and communicate with the server in real time. 【0273】 Users record their health data using smartphones or wearable devices and transmit it to a server via their devices. Wearable devices can measure data such as heart rate, blood pressure, and body temperature. 【0274】 Data processing and data calculation 【0275】 The server extracts resident information from data storage and, based on this information, selects the most appropriate notification method to notify residents of their schedule. For example, it uses an AI model to generate and send emails or SMS messages. The location information of waste collection vehicles is obtained from GPS data and plotted on a map by a location information management system. 【0276】 The server also analyzes participants' schedule information and uses AI to calculate and suggest the optimal meeting date and time. Audio data is recorded using terminals during the meeting and converted to text by the server's audio processing system. 【0277】 Furthermore, through health maintenance measures, the server analyzes the user's health information and generates notifications containing appropriate advice if any abnormalities are detected. 【0278】 Specific example 【0279】 For example, when creating a reminder for waste collection by leveraging a generative AI model, the prompt text would be as follows. "Please create a reminder for waste collection for residents. Use the specified schedule and the contact information of the residents." 【0280】 In this way, this system functions as a multi-functional platform for smoothly advancing daily local activities and plays a role in supporting the lives of local residents. 【0281】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0282】 Step 1: 【0283】 The server extracts information of local residents from the data storage. It obtains the attribute information of the residents (such as name, address, email address, phone number, etc.) as input. The server selects an appropriate notification means from this information and generates a prepared prompt text using a generative AI model. As output, it obtains the text of the email or SMS required for the notification. 【0284】 Step 2: 【0285】 The server receives the GPS data of the waste collection vehicle in real time. It obtains the position coordinate data as input. The server plots this position on a map using the position information management means and transfers it to the user's terminal. As output, it generates position information that can be displayed on the map. 【0286】 Step 3: 【0287】 The server collects the schedule data of each participant. It obtains the user's calendar information as input. Based on this information, the server calculates the optimal schedule for the meeting using AI and generates a prompt text. As output, it generates the proposed date and time of the schedule. 【0288】 Step 4: 【0289】 The terminal records audio during the meeting. It captures audio data from the meeting as input. This audio data is sent to a server and converted to text by an audio processing device. The output is a written transcript of the meeting content. 【0290】 Step 5: 【0291】 Users record their health information using wearable devices or smartphones. The input includes health data such as heart rate, blood pressure, and body temperature. The server receives this data and analyzes it using health maintenance tools. If an abnormality is detected, an alert notification is generated for the user. The output generates feedback about the abnormal health status. 【0292】 (Application Example 1) 【0293】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0294】 In local communities, there is a need to efficiently manage and provide a wide range of information to facilitate residents' daily lives, such as waste disposal schedules, meeting scheduling, and health management for the elderly and children. However, because this information is scattered, it is difficult for residents to use and places a heavy burden on them. 【0295】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0296】 In this invention, the server includes control means for notifying local communities of waste disposal plans, information integration means for centrally managing information on local activities, and notification means for users to receive real-time location information and health management notifications on their terminals. This allows local residents to receive important information related to their daily lives in one place and improve the efficiency of their lives. 【0297】 A "local community" refers to a collection of residents and users who live together in a specific geographical area. 【0298】 A "waste treatment plan" refers to information including schedules such as collection dates and methods necessary for a local community to efficiently treat waste. 【0299】 An "information base" is a digital data storage system for accumulating various data related to a local community. 【0300】 "Information integration means" is a technical means for aggregating and centrally managing diverse information within a local community. 【0301】 "Information communication means" refers to communication technologies and media used to transmit specific information among users. 【0302】 "Control means" is a technology or process for managing and operating specific functions and tasks within a system. 【0303】 "Tracking means" is a technology for monitoring and recording in real time the dynamic position and status of specific objects or data. 【0304】 "Schedule data" is schedule information related to group activities and personal plans. 【0305】 A "terminal" refers to various devices used for the interaction between an information system and a user. 【0306】 "Notification means" is a technology or method for transmitting specific information to target users. 【0307】 "Voice analysis means" is a technology for analyzing voice data and converting it into text data or the like as necessary. 【0308】 "Health management means" is a technology for monitoring the health status of a group and providing alerts and advice as necessary. 【0309】 To realize this invention, the system utilizes a central server, terminals distributed to users, and a communication network connecting them. The server stores information about local groups in an information base and uses it to provide various services. The software running on the server includes a backend program based on the Django framework and numerous APIs that support information tracking and notification sending. Google Maps API is used for real-time location information, and Google Cloud Speech-to-Text is used for speech analysis. 【0310】 The devices are primarily the user's smartphone or smart glasses, and they run applications developed using React Native. This application centrally manages information on local activities and provides this information to users in real time. For example, the device displays waste disposal plans received from the server and provides reminders. Furthermore, it can display the current location of waste collection vehicles on a map and update the location in real time. 【0311】 Users can optimize their daily lives based on information delivered by the system. For the elderly and children, daily health data can be monitored through the health management function, and necessary alerts can be received if abnormalities are detected. These notifications are displayed as push notifications on the device, prompting consultation with a specialist if necessary. 【0312】 For example, even while a user is wearing smart glasses and taking a walk, they can check the location and arrival time of a garbage truck as an image and receive real-time notifications based on their personal health data. 【0313】 Examples of prompts include "Please tell me the waste collection date for next week" or "Please tell me the dates of any meetings I can attend." In this way, community activities can be efficiently managed using a generative AI model. 【0314】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0315】 Step 1: 【0316】 The server retrieves information about local communities from an information base. This information primarily includes residents' contact information, waste disposal schedules, meeting schedules, participant schedules, and health data. The input data is raw data from the information base, and the server processes it into the necessary format for use as schedule information and reminder notifications. 【0317】 Step 2: 【0318】 The server generates a reminder for each user regarding their waste disposal schedule, based on the waste disposal schedule. The generated reminders are sent through the residents' means of communication (e.g., email or push notifications). The input is schedule information, which the server appropriately converts for communication and outputs notification information. 【0319】 Step 3: 【0320】 The server tracks the location of waste collection vehicles using the Google Maps API and obtains their location information in real time. The user's device displays this information on a map and provides an estimate of the collection vehicle's arrival time. The input is location data, which the server outputs after retrieving the data via the API and converting it to a map format. 【0321】 Step 4: 【0322】 The user terminal receives and displays optimal date and time notifications sent from the server to assist in scheduling local community meetings. The input is the adjusted schedule information, which the terminal formats and outputs for display on the user interface. 【0323】 Step 5: 【0324】 The user's terminal records the audio during the meeting and sends the audio data to the server. The server uses Google Cloud Speech-to-Text to automatically transcribe the audio into text and generate meeting minutes. The input is audio data, which the server converts into text data and outputs. 【0325】 Step 6: 【0326】 The server analyzes health data received from each user and sends notifications to the user, such as alerts or recommendations to consult a doctor, if any abnormalities are detected. The input is daily health data, which the server processes using an analysis algorithm and outputs as notification information. 【0327】 Step 7: 【0328】 The user views various notifications received from the server on their device and takes action as needed. The device provides appropriate feedback to the user's actions. Input is notification information from the server, and output is generated based on the user's actions. 【0329】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0330】 This invention is configured as an AI system to streamline community activities and improve the quality of life for residents. The system is designed around a server, terminal, and user interface, providing a multi-functional platform for smoothly carrying out various tasks within local communities. 【0331】 In addition to its main functions of managing waste disposal schedules, coordinating meetings, and health management, the system now incorporates a new emotion engine that recognizes user emotions. This emotion engine allows the system to identify the user's emotional state and provide services and feedback accordingly. 【0332】 The server collects various information about local residents and stores it in a database. For waste disposal schedule notifications, the server uses resident data to select a preferred communication method and sends reminders. Residents receive notifications via their devices and can manage their waste appropriately. 【0333】 The emotion engine acquires voice and text data through the user's device and analyzes it on the server. This analysis allows the system to identify the user's emotional state and provide information and suggestions tailored to that state. For example, if the user is feeling stressed, it can suggest relaxing activities or health-related guidance. 【0334】 This allows the server to provide timely and appropriate support in various aspects of daily life, improving user satisfaction and quality of life. Furthermore, by comprehensively evaluating the user's physical and emotional state, it enables an approach based on the relationship between health and emotions, contributing to overall health management. 【0335】 As a concrete example of its use, when a user engages in everyday conversation, the emotion engine analyzes their voice, and the server reflects the results in a health management system. If it determines that stress levels are high, the server notifies the user of relaxation techniques. In this way, the system supports local residents, making their daily lives safer and more fulfilling. 【0336】 The following describes the processing flow. 【0337】 Step 1: 【0338】 The server prepares a platform for centrally collecting user voice and text data. This data is received in real time when the user accesses the system and begins voice input. 【0339】 Step 2: 【0340】 The device records the user's voice data, converts it to text, and sends it to the server. This conversion is designed to allow the user to use the interface in a more natural way. 【0341】 Step 3: 【0342】 The server sends the received audio and text data to the emotion engine for analysis. The emotion engine processes this data to determine the user's emotional state. 【0343】 Step 4: 【0344】 The emotional state analyzed by the emotion engine is returned to the server. Based on the obtained emotional state information, the server prepares appropriate feedback and suggestions for the user. 【0345】 Step 5: 【0346】 The server sends notifications to the user's device based on the results. For example, if the user is feeling stressed, it might send messages such as "Here's how to take deep breaths to relax" or "We recommend a short walk." 【0347】 Step 6: 【0348】 Users receive notifications from the server through their devices and modify or improve their behavior based on that feedback. This improves their quality of life. 【0349】 Step 7: 【0350】 The server continuously collects user feedback and uses it to fine-tune the performance of the sentiment engine. This data forms the foundation for providing more personalized support in the long term. 【0351】 (Example 2) 【0352】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0353】 In modern communities, there is a need to provide personalized information and services to individual residents, but traditional systems are insufficient to provide efficient and effective support in areas closely related to daily life, such as waste management, community coordination, and healthcare. Furthermore, there is a challenge in providing individualized support that takes emotional states into consideration. 【0354】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0355】 In this invention, the server includes a management means that retrieves resident information from a storage device and notifies residents of the waste disposal schedule via an electronic communication device; a scheduling means that collects participants' schedule information and suggests appropriate meeting dates; and an emotion analysis means that analyzes the user's voice and text data, identifies emotional information, and provides appropriate services. This makes it possible to provide personalized notifications and services to local residents, thereby improving their quality of life. 【0356】 "Resident information" refers to data about individual residents in a local community, including contact information and preferred means of communication. 【0357】 A "communication device" is a means of sending and receiving information via an electronic device, enabling things like email, SMS, and app notifications. 【0358】 "Waste disposal schedules" refer to the schedules indicating the days when waste collection takes place within a region, and are essential information for residents to properly dispose of their waste. 【0359】 "Schedule information" refers to data showing the schedules of participants in the local community, and is used to coordinate meeting dates. 【0360】 A "meeting day" refers to a day when multiple participants agree to gather, and it is the most suitable date that has been coordinated. 【0361】 "Emotional information" refers to information about a user's psychological state obtained by analyzing their voice and text data, and is useful for understanding their state in daily life. 【0362】 "Emotional analysis methods" refer to processes and technologies that identify a person's emotional state based on data acquired from the user, enabling the provision of appropriate feedback and services. 【0363】 In its embodiment, this system is comprised primarily of a server, terminals, and user interfaces. This system is a multi-functional platform for efficiently providing information and services to residents of a local community. 【0364】 The server collects and stores data using storage devices to centrally manage resident information. A database system like MySQL is used for this purpose. The server operates by interfacing with electronic communication devices such as email, SMS gateways, and mobile apps to send notifications based on the contact methods registered by residents. 【0365】 The terminal functions as an interface for users to input voice and text information. Mainstream computing devices such as smartphones and tablets are used as terminals. This allows users to provide everyday emotional information, which the terminal then sends to a server. 【0366】 The generative AI model is built to analyze speech and text data and is implemented using the natural language processing library NLTK, the sentiment analysis library TextBlob, and the Python programming language. This identifies the user's emotional state and generates feedback based on the results. 【0367】 For example, suppose a user types "I'm so tired from work today" on their smartphone at the end of the day. The device sends this text data to a server, where a generative AI model analyzes it. An example of a prompt might be, "Analyze the user's voice data to identify their emotional state and provide appropriate feedback." Based on this analysis, the server provides feedback to the user such as, "You might want to try a short meditation." This allows residents to live more fulfilling lives. 【0368】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0369】 Step 1: 【0370】 The server retrieves local residents' personal information and preferred communication methods from storage devices and stores them in a database. The input includes the resident's registered name, address, contact information, and preferred communication methods. The server then organizes this information and stores it in the database. Specifically, the server automatically records the information collected during resident registration into a MySQL database. 【0371】 Step 2: 【0372】 The server manages waste collection schedules based on information in the database and creates appropriate reminders based on registered communication methods. Inputs include waste collection schedules and residents' preferred communication methods, and the server outputs notifications via email or SMS. Specifically, the server automatically retrieves regularly updated waste collection schedules and sends reminders to residents according to pre-configured rules. 【0373】 Step 3: 【0374】 The user inputs voice or text data via the device. This input includes user statements and recorded journal entries, and the device then outputs this data to a server for sentiment analysis. Specifically, the user uses their smartphone's microphone to make emotional statements, which are then converted into text and sent to the server. 【0375】 Step 4: 【0376】 The server passes the received audio or text data to a generating AI model for emotional analysis. The input is the user's audio or text data, which is then output as an analysis result based on their emotional state. Specifically, it utilizes TextBlob, a Python-based emotion analysis library, to determine positive, negative, or neutral emotions from the input data. 【0377】 Step 5: 【0378】 The server provides users with appropriate feedback and services based on the analysis results. It takes user emotional state data as input and outputs such as health advice and relaxation suggestions. Specifically, for users experiencing high stress levels, it automatically generates suggestions such as, "Try meditating for 10 minutes today," and notifies the user's device. 【0379】 (Application Example 2) 【0380】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0381】 To improve the efficiency of community activities and enhance the quality of life for residents, it is necessary to smoothly integrate multiple elements such as waste management, community scheduling, health monitoring, and understanding individual emotional states. However, the current system, which manages these elements separately, is inefficient and makes it difficult to provide appropriate and timely support to residents. 【0382】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0383】 In this invention, the server includes a management means that retrieves resident information from a database and sends reminders via appropriate communication means to notify local residents of the waste disposal schedule; a tracking means that provides residents with real-time location information of waste collection means; a scheduling management means that collects participants' schedule data to coordinate community meeting schedules and provides optimal dates; a speech recognition means that automatically records and transcribes the content of participants' meetings; a health management means that monitors the health status of the elderly and children and provides reminders as needed; and an emotion analysis means that analyzes the user's emotional state and provides information and suggestions based on that state. This makes it possible to provide integrated and efficient life support to local residents. 【0384】 A "management system" is a system that has the function of obtaining resident information from a database and sending reminders via appropriate communication means in order to notify local residents of the waste disposal schedule. 【0385】 A "tracking device" is a device that has the function of providing residents with real-time location information of waste collection devices. 【0386】 A "schedule management system" is a device that collects participants' availability data and provides the optimal schedule for coordinating meetings within a local community. 【0387】 "Voice recognition means" refers to a device that has the function of automatically recording and transcribing the content of the participants' meeting into text. 【0388】 A "health management tool" is a device that monitors the health status of the elderly and children and provides reminders as needed. 【0389】 An "emotion analysis tool" is a device that analyzes a user's emotional state and provides information and suggestions based on that state. 【0390】 This invention is an integrated system designed to improve the living environment of a region, and is capable of notifying local residents about waste disposal, managing meeting schedules, monitoring health conditions, and analyzing emotional states. 【0391】 The server retrieves information on local residents from a database and sends reminders about waste disposal schedules using appropriate communication methods. Google Cloud's communication API can be used for this purpose. Furthermore, GPS technology is utilized to provide real-time location information for waste collection methods. 【0392】 The device collects participants' schedule data and suggests the optimal date to coordinate local meeting times. This uses cloud-based scheduling software. To record and transcribe the meeting content, it utilizes a speech recognition API and converts the information into text through a natural language processing library. 【0393】 Users report their daily health status via their devices and receive reminders and necessary advice through health management tools. The health data is stored in the cloud, and Azure's machine learning services are used for analysis. 【0394】 Furthermore, the device is equipped with emotion analysis capabilities that analyze the user's voice and text to determine their emotional state. For example, if the user is feeling anxious, a generative AI model is used to suggest activities for relaxation. 【0395】 For example, if a user says something like, "I'm a little tired today," the emotion engine analyzes this statement and supports the user by recommending things like listening to music or meditating. 【0396】 An example of a prompt for a generative AI model is, "If the user is feeling stressed, please suggest some effective relaxation methods." 【0397】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0398】 Step 1: 【0399】 The server queries the resident information database to extract waste disposal schedules. The input is the resident information database, and the output is the waste disposal schedule for each resident. Based on the information from the database, it generates appropriate reminders. 【0400】 Step 2: 【0401】 The server selects the appropriate communication method and sends a waste disposal reminder to the resident's terminal. The input is the waste disposal schedule obtained in step 1, and the output is the reminder notification displayed on the resident's terminal. A communication API is used to send notifications in a format that suits the user's preferences. 【0402】 Step 3: 【0403】 The terminal collects participants' schedule data and sends it to the server. The input is each participant's schedule, and the output is aggregated data of the participants' schedules. This aggregated data is used to calculate the optimal meeting date. 【0404】 Step 4: 【0405】 The server uses a speech recognition API to convert audio data acquired during a meeting into text. The input is audio data, and the output is the transcribed meeting content. The system analyzes the audio signal and automatically transcribes important meeting minutes into text. 【0406】 Step 5: 【0407】 Users input their daily health status into a device and send it to the server. The input is health status data, and the output is a health status report. The health management system analyzes this data and provides necessary advice and reminders. 【0408】 Step 6: 【0409】 The device analyzes the user's voice and text and uses emotion analysis tools to determine their emotional state. Input is voice or text data, and output is emotional state evaluation data. A generative AI model analyzes this data to generate suggestions such as relaxation activities. 【0410】 Step 7: 【0411】 The server sends the generated suggestions to the terminal, providing support information to the user. The input is the suggestion data from the generating AI model, and the output is the suggested content displayed on the terminal. The notification function allows users to receive appropriate support immediately. 【0412】 The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0413】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0414】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0415】 [Third Embodiment] 【0416】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0417】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0418】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0419】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0420】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0421】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0422】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0423】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0424】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0425】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0426】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0427】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0428】 This invention is an integrated system that utilizes AI to streamline community activities. The system is connected by a network consisting of servers and terminals and is installed in individual homes and community centers. 【0429】 The server maintains a database containing information on local residents and uses this information to notify residents of their waste disposal schedules. Based on the local waste collection schedule, the server sends notifications at times that are appropriate for residents' schedules. For example, using the obtained resident information, it can send a reminder the day before waste collection using an email address or phone number. Users receive notifications and check their waste collection schedules using their smartphones or computers. This ensures that residents do not forget to prepare their waste. 【0430】 Furthermore, the server acquires GPS data for the location of waste collection vehicles and centrally manages it, providing residents with real-time location information for the vehicles. Users can view this information in map format through their devices and predict the arrival time of the collection vehicles. 【0431】 Furthermore, the server also provides a scheduling function for local community meetings. The server collects participants' calendar information and analyzes the most convenient dates and times for each participant to schedule the meeting. The server then sends a notification to residents again with the confirmed optimal date and time, and sends an invitation to encourage participation in the meeting. Participants can receive the notification on their smartphones or other devices and easily register to participate. 【0432】 Furthermore, during meetings and conferences, the terminals record audio, and the server analyzes the data to automatically convert it from speech to text. The resulting meeting minutes are then shared with all participants and used for future reference. 【0433】 The server also handles health management functions to support the health of the elderly and children. Users send their health data from their devices to the server, recording their daily health status. The server analyzes this data and notifies the user with appropriate advice if an abnormality is detected. For example, based on data such as blood pressure and body temperature, a notification recommending a visit to a medical institution may be sent. 【0434】 As a whole, this system, with its integrated AI agent, can streamline daily community activities and effectively reduce the burden on residents. 【0435】 The following describes the processing flow. 【0436】 Step 1: 【0437】 The server retrieves the local waste collection schedule from a database. It manages and confirms the collection dates for each type of waste. 【0438】 Step 2: 【0439】 The server accesses the resident database and retrieves each resident's contact information (email address, phone number, etc.). 【0440】 Step 3: 【0441】 The server confirms that the following day is a waste collection day and generates a reminder message for the relevant residents at a pre-set time. 【0442】 Step 4: 【0443】 Reminder messages are sent based on the user's registered communication method (email, SMS, or in-app notification). The server specifies this communication method when sending the message. 【0444】 Step 5: 【0445】 The device notifies the user of reminder messages received from the server. The user checks the collection date through the device's notification function. 【0446】 Step 6: 【0447】 The server periodically acquires GPS data from waste collection vehicles in order to track their location in real time. 【0448】 Step 7: 【0449】 The server projects the collected GPS data onto a map, allowing for visual management of the current location of the collection vehicles. 【0450】 Step 8: 【0451】 Users can use a terminal to check the actual location of the collection truck. The terminal displays this information on a map, allowing users to determine the optimal time to put out their waste. 【0452】 (Example 1) 【0453】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0454】 In modern communities, residents often forget waste disposal schedules or struggle to coordinate meetings. Furthermore, managing the health of the elderly and children can become a daily burden. Addressing these issues is crucial for improving the quality of life for community residents. 【0455】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0456】 In this invention, the server includes a notification means that extracts information from data storage that stores information on local residents and notifies them of the schedule using the most suitable communication means; a location information management means that acquires the location of mobile collection equipment in real time and provides it to residents; and a meeting adjustment means that aggregates the time data of participants and calculates the most convenient meeting date and time. As a result, local residents can easily manage the schedule of waste disposal and meetings, and their health status is also supported, enabling them to live their lives with peace of mind. 【0457】 "Notification method" refers to a function that selects the most suitable communication method based on information about local residents and notifies them of the schedule. 【0458】 "Location information management means" refers to a function that acquires real-time location data of mobile collection devices and provides that information to residents. 【0459】 A "meeting scheduling tool" is a function that collects participants' schedule information and calculates and proposes the most suitable meeting date and time. 【0460】 "Audio processing means" refers to a function for analyzing audio recorded during a meeting, transcribing it into text, and sharing it. 【0461】 "Health maintenance tools" refer to a function that collects and analyzes the user's health information and provides appropriate advice if any abnormalities are found. 【0462】 "Data storage" refers to a storage device used to store information about local residents. 【0463】 "Mobile collection equipment" is a term that refers to vehicles or devices used for collecting waste and resources. 【0464】 "Participants" refers to people who attend meetings or events of the local community. 【0465】 The embodiments for carrying out this invention are shown below. 【0466】 This system is an integrated system designed to streamline community activities, supporting services such as information dissemination to local residents, waste collection management, scheduling of community meetings, and health data management. The system primarily provides various services through data exchange between servers, terminals, and users. 【0467】 Hardware and software to be used 【0468】 The server stores and accumulates information about local residents using data storage. This could be done using, for example, a cloud-based database system. The server also uses generative AI models to perform voice analysis and optimize scheduling. 【0469】 The devices include smartphones and personal computers, and are used to display notifications from the server to the user. These devices are connected to the internet and communicate with the server in real time. 【0470】 Users record their health data using smartphones or wearable devices and transmit it to a server via their devices. Wearable devices can measure data such as heart rate, blood pressure, and body temperature. 【0471】 Data processing and data calculation 【0472】 The server extracts resident information from data storage and, based on this information, selects the most appropriate notification method to notify residents of their schedule. For example, it uses an AI model to generate and send emails or SMS messages. The location information of waste collection vehicles is obtained from GPS data and plotted on a map by a location information management system. 【0473】 The server also analyzes participants' schedule information and uses AI to calculate and suggest the optimal meeting date and time. Audio data is recorded using terminals during the meeting and converted to text by the server's audio processing system. 【0474】 Furthermore, through health maintenance measures, the server analyzes the user's health information and generates notifications containing appropriate advice if any abnormalities are detected. 【0475】 Specific example 【0476】 For example, when using a generative AI model to create a waste collection reminder, the prompt message might look like this: "Create a waste collection reminder for residents. Use the specified date and resident contact information." 【0477】 Thus, this system functions as a multi-functional platform to facilitate daily community activities and plays a role in supporting the lives of local residents. 【0478】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0479】 Step 1: 【0480】 The server extracts information about local residents from data storage. It takes resident attribute information (name, address, email address, phone number, etc.) as input. The server selects an appropriate notification method from this information and generates a pre-defined prompt message using a generation AI model. The output is the text of the email or SMS message required for notification. 【0481】 Step 2: 【0482】 The server receives GPS data from waste collection vehicles in real time. It obtains location coordinate data as input. The server uses a location information management system to plot this location on a map and transfers it to the user's terminal. As output, it generates location information that can be displayed on a map. 【0483】 Step 3: 【0484】 The server collects schedule data from each participant. It takes the user's calendar information as input. Based on this information, the server uses AI to calculate the optimal meeting date and generates a prompt message. The output is a suggested date and time for the meeting. 【0485】 Step 4: 【0486】 The terminal records audio during the meeting. It captures audio data from the meeting as input. This audio data is sent to a server and converted to text by an audio processing device. The output is a written transcript of the meeting content. 【0487】 Step 5: 【0488】 Users record their health information using wearable devices or smartphones. The input includes health data such as heart rate, blood pressure, and body temperature. The server receives this data and analyzes it using health maintenance tools. If an abnormality is detected, an alert notification is generated for the user. The output generates feedback about the abnormal health status. 【0489】 (Application Example 1) 【0490】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0491】 In local communities, there is a need to efficiently manage and provide a wide range of information to facilitate residents' daily lives, such as waste disposal schedules, meeting scheduling, and health management for the elderly and children. However, because this information is scattered, it is difficult for residents to use and places a heavy burden on them. 【0492】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0493】 In this invention, the server includes control means for notifying local communities of waste disposal plans, information integration means for centrally managing information on local activities, and notification means for users to receive real-time location information and health management notifications on their terminals. This allows local residents to receive important information related to their daily lives in one place and improve the efficiency of their lives. 【0494】 A "community group" refers to a collection of residents or users who live together in a specific geographical area. 【0495】 A "waste management plan" refers to information that includes a schedule of collection dates and methods necessary for a community to efficiently manage waste. 【0496】 An "information base" is a digital data storage system for accumulating various types of data related to a local community. 【0497】 "Information integration means" are technological means for aggregating and centrally managing diverse information within a local community. 【0498】 "Information and communication means" refers to communication technologies and media used to transmit specific information between users. 【0499】 "Control means" refers to a technology or process for managing and operating specific functions or tasks within a system. 【0500】 "Tracking means" refers to technologies that monitor and record the dynamic location and state of specific objects or data in real time. 【0501】 "Planning data" refers to schedule information related to group activities and individual appointments. 【0502】 "Terminal" refers to various devices used by information systems and users for interaction. 【0503】 "Notification means" refers to a technology or method for transmitting specific information to a target user. 【0504】 "Speech analysis means" refers to technology that analyzes speech data and converts it into text data or other formats as needed. 【0505】 "Health management tools" are technologies that monitor the health status of a group and provide alerts and advice as needed. 【0506】 To realize this invention, the system utilizes a central server, terminals distributed to users, and a communication network connecting them. The server stores information about local groups in an information base and uses it to provide various services. The software running on the server includes a backend program based on the Django framework and numerous APIs that support information tracking and notification sending. Google Maps API is used for real-time location information, and Google Cloud Speech-to-Text is used for speech analysis. 【0507】 The devices are primarily the user's smartphone or smart glasses, and they run applications developed using React Native. This application centrally manages information on local activities and provides this information to users in real time. For example, the device displays waste disposal plans received from the server and provides reminders. Furthermore, it can display the current location of waste collection vehicles on a map and update the location in real time. 【0508】 Users can optimize their daily lives based on information delivered by the system. For the elderly and children, daily health data can be monitored through the health management function, and necessary alerts can be received if abnormalities are detected. These notifications are displayed as push notifications on the device, prompting consultation with a specialist if necessary. 【0509】 For example, even while a user is wearing smart glasses and taking a walk, they can check the location and arrival time of a garbage truck as an image and receive real-time notifications based on their personal health data. 【0510】 Examples of prompts include "Please tell me the waste collection date for next week" or "Please tell me the dates of any meetings I can attend." In this way, community activities can be efficiently managed using a generative AI model. 【0511】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0512】 Step 1: 【0513】 The server retrieves information about local communities from an information base. This information primarily includes residents' contact information, waste disposal schedules, meeting schedules, participant schedules, and health data. The input data is raw data from the information base, and the server processes it into the necessary format for use as schedule information and reminder notifications. 【0514】 Step 2: 【0515】 The server generates a reminder for each user regarding their waste disposal schedule, based on the waste disposal schedule. The generated reminders are sent through the residents' means of communication (e.g., email or push notifications). The input is schedule information, which the server appropriately converts for communication and outputs notification information. 【0516】 Step 3: 【0517】 The server tracks the location of waste collection vehicles using the Google Maps API and obtains their location information in real time. The user's device displays this information on a map and provides an estimate of the collection vehicle's arrival time. The input is location data, which the server outputs after retrieving the data via the API and converting it to a map format. 【0518】 Step 4: 【0519】 The user terminal receives and displays optimal date and time notifications sent from the server to assist in scheduling local community meetings. The input is the adjusted schedule information, which the terminal formats and outputs for display on the user interface. 【0520】 Step 5: 【0521】 The user's terminal records the audio during the meeting and sends the audio data to the server. The server uses Google Cloud Speech-to-Text to automatically transcribe the audio into text and generate meeting minutes. The input is audio data, which the server converts into text data and outputs. 【0522】 Step 6: 【0523】 The server analyzes health data received from each user and sends notifications to the user, such as alerts or recommendations to consult a doctor, if any abnormalities are detected. The input is daily health data, which the server processes using an analysis algorithm and outputs as notification information. 【0524】 Step 7: 【0525】 The user views various notifications received from the server on their device and takes action as needed. The device provides appropriate feedback to the user's actions. Input is notification information from the server, and output is generated based on the user's actions. 【0526】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0527】 This invention is configured as an AI system to streamline community activities and improve the quality of life for residents. The system is designed around a server, terminal, and user interface, providing a multi-functional platform for smoothly carrying out various tasks within local communities. 【0528】 In addition to its main functions of managing waste disposal schedules, coordinating meetings, and health management, the system now incorporates a new emotion engine that recognizes user emotions. This emotion engine allows the system to identify the user's emotional state and provide services and feedback accordingly. 【0529】 The server collects various information about local residents and stores it in a database. For waste disposal schedule notifications, the server uses resident data to select a preferred communication method and sends reminders. Residents receive notifications via their devices and can manage their waste appropriately. 【0530】 The emotion engine acquires voice and text data through the user's device and analyzes it on the server. This analysis allows the system to identify the user's emotional state and provide information and suggestions tailored to that state. For example, if the user is feeling stressed, it can suggest relaxing activities or health-related guidance. 【0531】 This allows the server to provide timely and appropriate support in various aspects of daily life, improving user satisfaction and quality of life. Furthermore, by comprehensively evaluating the user's physical and emotional state, it enables an approach based on the relationship between health and emotions, contributing to overall health management. 【0532】 As a concrete example of its use, when a user engages in everyday conversation, the emotion engine analyzes their voice, and the server reflects the results in a health management system. If it determines that stress levels are high, the server notifies the user of relaxation techniques. In this way, the system supports local residents, making their daily lives safer and more fulfilling. 【0533】 The following describes the processing flow. 【0534】 Step 1: 【0535】 The server prepares a platform for centrally collecting user voice and text data. This data is received in real time when the user accesses the system and begins voice input. 【0536】 Step 2: 【0537】 The device records the user's voice data, converts it to text, and sends it to the server. This conversion is designed to allow the user to use the interface in a more natural way. 【0538】 Step 3: 【0539】 The server sends the received audio and text data to the emotion engine for analysis. The emotion engine processes this data to determine the user's emotional state. 【0540】 Step 4: 【0541】 The emotional state analyzed by the emotion engine is returned to the server. Based on the obtained emotional state information, the server prepares appropriate feedback and suggestions for the user. 【0542】 Step 5: 【0543】 The server sends notifications to the user's device based on the results. For example, if the user is feeling stressed, it might send messages such as "Here's how to take deep breaths to relax" or "We recommend a short walk." 【0544】 Step 6: 【0545】 Users receive notifications from the server through their devices and modify or improve their behavior based on that feedback. This improves their quality of life. 【0546】 Step 7: 【0547】 The server continuously collects user feedback and uses it to fine-tune the performance of the sentiment engine. This data forms the foundation for providing more personalized support in the long term. 【0548】 (Example 2) 【0549】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0550】 In modern communities, there is a need to provide personalized information and services to individual residents, but traditional systems are insufficient to provide efficient and effective support in areas closely related to daily life, such as waste management, community coordination, and healthcare. Furthermore, there is a challenge in providing individualized support that takes emotional states into consideration. 【0551】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0552】 In this invention, the server includes a management means that retrieves resident information from a storage device and notifies residents of the waste disposal schedule via an electronic communication device; a scheduling means that collects participants' schedule information and suggests appropriate meeting dates; and an emotion analysis means that analyzes the user's voice and text data, identifies emotional information, and provides appropriate services. This makes it possible to provide personalized notifications and services to local residents, thereby improving their quality of life. 【0553】 "Resident information" refers to data about individual residents in a local community, including contact information and preferred means of communication. 【0554】 A "communication device" is a means of sending and receiving information via an electronic device, enabling things like email, SMS, and app notifications. 【0555】 "Waste disposal schedules" refer to the schedules indicating the days when waste collection takes place within a region, and are essential information for residents to properly dispose of their waste. 【0556】 "Schedule information" refers to data showing the schedules of participants in the local community, and is used to coordinate meeting dates. 【0557】 A "meeting day" refers to a day when multiple participants agree to gather, and it is the most suitable date that has been coordinated. 【0558】 "Emotional information" refers to information about a user's psychological state obtained by analyzing their voice and text data, and is useful for understanding their state in daily life. 【0559】 "Emotional analysis methods" refer to processes and technologies that identify a person's emotional state based on data acquired from the user, enabling the provision of appropriate feedback and services. 【0560】 In its embodiment, this system is comprised primarily of a server, terminals, and user interfaces. This system is a multi-functional platform for efficiently providing information and services to residents of a local community. 【0561】 The server collects and stores data using storage devices to centrally manage resident information. A database system like MySQL is used for this purpose. The server operates by interfacing with electronic communication devices such as email, SMS gateways, and mobile apps to send notifications based on the contact methods registered by residents. 【0562】 The terminal functions as an interface for users to input voice and text information. Mainstream computing devices such as smartphones and tablets are used as terminals. This allows users to provide everyday emotional information, which the terminal then sends to a server. 【0563】 The generative AI model is built to analyze speech and text data and is implemented using the natural language processing library NLTK, the sentiment analysis library TextBlob, and the Python programming language. This identifies the user's emotional state and generates feedback based on the results. 【0564】 For example, suppose a user types "I'm so tired from work today" on their smartphone at the end of the day. The device sends this text data to a server, where a generative AI model analyzes it. An example of a prompt might be, "Analyze the user's voice data to identify their emotional state and provide appropriate feedback." Based on this analysis, the server provides feedback to the user such as, "You might want to try a short meditation." This allows residents to live more fulfilling lives. 【0565】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0566】 Step 1: 【0567】 The server retrieves local residents' personal information and preferred communication methods from storage devices and stores them in a database. The input includes the resident's registered name, address, contact information, and preferred communication methods. The server then organizes this information and stores it in the database. Specifically, the server automatically records the information collected during resident registration into a MySQL database. 【0568】 Step 2: 【0569】 The server manages waste collection schedules based on information in the database and creates appropriate reminders based on registered communication methods. Inputs include waste collection schedules and residents' preferred communication methods, and the server outputs notifications via email or SMS. Specifically, the server automatically retrieves regularly updated waste collection schedules and sends reminders to residents according to pre-configured rules. 【0570】 Step 3: 【0571】 The user inputs voice or text data via the device. This input includes user statements and recorded journal entries, and the device then outputs this data to a server for sentiment analysis. Specifically, the user uses their smartphone's microphone to make emotional statements, which are then converted into text and sent to the server. 【0572】 Step 4: 【0573】 The server passes the received audio or text data to a generating AI model for emotional analysis. The input is the user's audio or text data, which is then output as an analysis result based on their emotional state. Specifically, it utilizes TextBlob, a Python-based emotion analysis library, to determine positive, negative, or neutral emotions from the input data. 【0574】 Step 5: 【0575】 The server provides users with appropriate feedback and services based on the analysis results. It takes user emotional state data as input and outputs such as health advice and relaxation suggestions. Specifically, for users experiencing high stress levels, it automatically generates suggestions such as, "Try meditating for 10 minutes today," and notifies the user's device. 【0576】 (Application Example 2) 【0577】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0578】 To improve the efficiency of community activities and enhance the quality of life for residents, it is necessary to smoothly integrate multiple elements such as waste management, community scheduling, health monitoring, and understanding individual emotional states. However, the current system, which manages these elements separately, is inefficient and makes it difficult to provide appropriate and timely support to residents. 【0579】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0580】 In this invention, the server includes a management means that retrieves resident information from a database and sends reminders via appropriate communication means to notify local residents of the waste disposal schedule; a tracking means that provides residents with real-time location information of waste collection means; a scheduling management means that collects participants' schedule data to coordinate community meeting schedules and provides optimal dates; a speech recognition means that automatically records and transcribes the content of participants' meetings; a health management means that monitors the health status of the elderly and children and provides reminders as needed; and an emotion analysis means that analyzes the user's emotional state and provides information and suggestions based on that state. This makes it possible to provide integrated and efficient life support to local residents. 【0581】 A "management system" is a system that has the function of obtaining resident information from a database and sending reminders via appropriate communication means in order to notify local residents of the waste disposal schedule. 【0582】 A "tracking device" is a device that has the function of providing residents with real-time location information of waste collection devices. 【0583】 A "schedule management system" is a device that collects participants' availability data and provides the optimal schedule for coordinating meetings within a local community. 【0584】 "Voice recognition means" refers to a device that has the function of automatically recording and transcribing the content of the participants' meeting into text. 【0585】 A "health management tool" is a device that monitors the health status of the elderly and children and provides reminders as needed. 【0586】 An "emotion analysis tool" is a device that analyzes a user's emotional state and provides information and suggestions based on that state. 【0587】 This invention is an integrated system designed to improve the living environment of a region, and is capable of notifying local residents about waste disposal, managing meeting schedules, monitoring health conditions, and analyzing emotional states. 【0588】 The server retrieves information on local residents from a database and sends reminders about waste disposal schedules using appropriate communication methods. Google Cloud's communication API can be used for this purpose. Furthermore, GPS technology is utilized to provide real-time location information for waste collection methods. 【0589】 The device collects participants' schedule data and suggests the optimal date to coordinate local meeting times. This uses cloud-based scheduling software. To record and transcribe the meeting content, it utilizes a speech recognition API and converts the information into text through a natural language processing library. 【0590】 Users report their daily health status via their devices and receive reminders and necessary advice through health management tools. The health data is stored in the cloud, and Azure's machine learning services are used for analysis. 【0591】 Furthermore, the device is equipped with emotion analysis capabilities that analyze the user's voice and text to determine their emotional state. For example, if the user is feeling anxious, a generative AI model is used to suggest activities for relaxation. 【0592】 For example, if a user says something like, "I'm a little tired today," the emotion engine analyzes this statement and supports the user by recommending things like listening to music or meditating. 【0593】 An example of a prompt for a generative AI model is, "If the user is feeling stressed, please suggest some effective relaxation methods." 【0594】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0595】 Step 1: 【0596】 The server queries the resident information database to extract waste disposal schedules. The input is the resident information database, and the output is the waste disposal schedule for each resident. Based on the information from the database, it generates appropriate reminders. 【0597】 Step 2: 【0598】 The server selects the appropriate communication method and sends a waste disposal reminder to the resident's terminal. The input is the waste disposal schedule obtained in step 1, and the output is the reminder notification displayed on the resident's terminal. A communication API is used to send notifications in a format that suits the user's preferences. 【0599】 Step 3: 【0600】 The terminal collects participants' schedule data and sends it to the server. The input is each participant's schedule, and the output is aggregated data of the participants' schedules. This aggregated data is used to calculate the optimal meeting date. 【0601】 Step 4: 【0602】 The server uses a speech recognition API to convert audio data acquired during a meeting into text. The input is audio data, and the output is the transcribed meeting content. The system analyzes the audio signal and automatically transcribes important meeting minutes into text. 【0603】 Step 5: 【0604】 Users input their daily health status into a device and send it to the server. The input is health status data, and the output is a health status report. The health management system analyzes this data and provides necessary advice and reminders. 【0605】 Step 6: 【0606】 The device analyzes the user's voice and text and uses emotion analysis tools to determine their emotional state. Input is voice or text data, and output is emotional state evaluation data. A generative AI model analyzes this data to generate suggestions such as relaxation activities. 【0607】 Step 7: 【0608】 The server sends the generated suggestions to the terminal, providing support information to the user. The input is the suggestion data from the generating AI model, and the output is the suggested content displayed on the terminal. The notification function allows users to receive appropriate support immediately. 【0609】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0610】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0611】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0612】 [Fourth Embodiment] 【0613】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0614】 As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server. 【0615】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0616】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0617】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0618】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0619】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0620】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0621】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0622】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0623】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0624】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0625】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0626】 This invention is an integrated system that utilizes AI to streamline community activities. The system is connected by a network consisting of servers and terminals and is installed in individual homes and community centers. 【0627】 The server maintains a database containing information on local residents and uses this information to notify residents of their waste disposal schedules. Based on the local waste collection schedule, the server sends notifications at times that are appropriate for residents' schedules. For example, using the obtained resident information, it can send a reminder the day before waste collection using an email address or phone number. Users receive notifications and check their waste collection schedules using their smartphones or computers. This ensures that residents do not forget to prepare their waste. 【0628】 Furthermore, the server acquires GPS data for the location of waste collection vehicles and centrally manages it, providing residents with real-time location information for the vehicles. Users can view this information in map format through their devices and predict the arrival time of the collection vehicles. 【0629】 Furthermore, the server also provides a scheduling function for local community meetings. The server collects participants' calendar information and analyzes the most convenient dates and times for each participant to schedule the meeting. The server then sends a notification to residents again with the confirmed optimal date and time, and sends an invitation to encourage participation in the meeting. Participants can receive the notification on their smartphones or other devices and easily register to participate. 【0630】 Furthermore, during meetings and conferences, the terminals record audio, and the server analyzes the data to automatically convert it from speech to text. The resulting meeting minutes are then shared with all participants and used for future reference. 【0631】 The server also handles health management functions to support the health of the elderly and children. Users send their health data from their devices to the server, recording their daily health status. The server analyzes this data and notifies the user with appropriate advice if an abnormality is detected. For example, based on data such as blood pressure and body temperature, a notification recommending a visit to a medical institution may be sent. 【0632】 As a whole, this system, with its integrated AI agent, can streamline daily community activities and effectively reduce the burden on residents. 【0633】 The following describes the processing flow. 【0634】 Step 1: 【0635】 The server retrieves the local waste collection schedule from a database. It manages and confirms the collection dates for each type of waste. 【0636】 Step 2: 【0637】 The server accesses the resident database and retrieves each resident's contact information (email address, phone number, etc.). 【0638】 Step 3: 【0639】 The server confirms that the following day is a waste collection day and generates a reminder message for the relevant residents at a pre-set time. 【0640】 Step 4: 【0641】 Reminder messages are sent based on the user's registered communication method (email, SMS, or in-app notification). The server specifies this communication method when sending the message. 【0642】 Step 5: 【0643】 The device notifies the user of reminder messages received from the server. The user checks the collection date through the device's notification function. 【0644】 Step 6: 【0645】 The server periodically acquires GPS data from waste collection vehicles in order to track their location in real time. 【0646】 Step 7: 【0647】 The server projects the collected GPS data onto a map, allowing for visual management of the current location of the collection vehicles. 【0648】 Step 8: 【0649】 Users can use a terminal to check the actual location of the collection truck. The terminal displays this information on a map, allowing users to determine the optimal time to put out their waste. 【0650】 (Example 1) 【0651】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0652】 In modern communities, residents often forget waste disposal schedules or struggle to coordinate meetings. Furthermore, managing the health of the elderly and children can become a daily burden. Addressing these issues is crucial for improving the quality of life for community residents. 【0653】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0654】 In this invention, the server includes a notification means that extracts information from data storage that stores information on local residents and notifies them of the schedule using the most suitable communication means; a location information management means that acquires the location of mobile collection equipment in real time and provides it to residents; and a meeting adjustment means that aggregates the time data of participants and calculates the most convenient meeting date and time. As a result, local residents can easily manage the schedule of waste disposal and meetings, and their health status is also supported, enabling them to live their lives with peace of mind. 【0655】 "Notification method" refers to a function that selects the most suitable communication method based on information about local residents and notifies them of the schedule. 【0656】 "Location information management means" refers to a function that acquires real-time location data of mobile collection devices and provides that information to residents. 【0657】 A "meeting scheduling tool" is a function that collects participants' schedule information and calculates and proposes the most suitable meeting date and time. 【0658】 "Audio processing means" refers to a function for analyzing audio recorded during a meeting, transcribing it into text, and sharing it. 【0659】 "Health maintenance tools" refer to a function that collects and analyzes the user's health information and provides appropriate advice if any abnormalities are found. 【0660】 "Data storage" refers to a storage device used to store information about local residents. 【0661】 "Mobile collection equipment" is a term that refers to vehicles or devices used for collecting waste and resources. 【0662】 "Participants" refers to people who attend meetings or events of the local community. 【0663】 The embodiments for carrying out this invention are shown below. 【0664】 This system is an integrated system designed to streamline community activities, supporting services such as information dissemination to local residents, waste collection management, scheduling of community meetings, and health data management. The system primarily provides various services through data exchange between servers, terminals, and users. 【0665】 Hardware and software to be used 【0666】 The server stores and accumulates information about local residents using data storage. This could be done using, for example, a cloud-based database system. The server also uses generative AI models to perform voice analysis and optimize scheduling. 【0667】 The devices include smartphones and personal computers, and are used to display notifications from the server to the user. These devices are connected to the internet and communicate with the server in real time. 【0668】 Users record their health data using smartphones or wearable devices and transmit it to a server via their devices. Wearable devices can measure data such as heart rate, blood pressure, and body temperature. 【0669】 Data processing and data calculation 【0670】 The server extracts resident information from data storage and, based on this information, selects the most appropriate notification method to notify residents of their schedule. For example, it uses an AI model to generate and send emails or SMS messages. The location information of waste collection vehicles is obtained from GPS data and plotted on a map by a location information management system. 【0671】 The server also analyzes participants' schedule information and uses AI to calculate and suggest the optimal meeting date and time. Audio data is recorded using terminals during the meeting and converted to text by the server's audio processing system. 【0672】 Furthermore, through health maintenance measures, the server analyzes the user's health information and generates notifications containing appropriate advice if any abnormalities are detected. 【0673】 Specific example 【0674】 For example, when using a generative AI model to create a waste collection reminder, the prompt message might look like this: "Create a waste collection reminder for residents. Use the specified date and resident contact information." 【0675】 Thus, this system functions as a multi-functional platform to facilitate daily community activities and plays a role in supporting the lives of local residents. 【0676】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0677】 Step 1: 【0678】 The server extracts information about local residents from data storage. It takes resident attribute information (name, address, email address, phone number, etc.) as input. The server selects an appropriate notification method from this information and generates a pre-defined prompt message using a generation AI model. The output is the text of the email or SMS message required for notification. 【0679】 Step 2: 【0680】 The server receives GPS data from waste collection vehicles in real time. It obtains location coordinate data as input. The server uses a location information management system to plot this location on a map and transfers it to the user's terminal. As output, it generates location information that can be displayed on a map. 【0681】 Step 3: 【0682】 The server collects schedule data from each participant. It takes the user's calendar information as input. Based on this information, the server uses AI to calculate the optimal meeting date and generates a prompt message. The output is a suggested date and time for the meeting. 【0683】 Step 4: 【0684】 The terminal records audio during the meeting. It captures audio data from the meeting as input. This audio data is sent to a server and converted to text by an audio processing device. The output is a written transcript of the meeting content. 【0685】 Step 5: 【0686】 Users record their health information using wearable devices or smartphones. The input includes health data such as heart rate, blood pressure, and body temperature. The server receives this data and analyzes it using health maintenance tools. If an abnormality is detected, an alert notification is generated for the user. The output generates feedback about the abnormal health status. 【0687】 (Application Example 1) 【0688】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0689】 In local communities, there is a need to efficiently manage and provide a wide range of information to facilitate residents' daily lives, such as waste disposal schedules, meeting scheduling, and health management for the elderly and children. However, because this information is scattered, it is difficult for residents to use and places a heavy burden on them. 【0690】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0691】 In this invention, the server includes control means for notifying local communities of waste disposal plans, information integration means for centrally managing information on local activities, and notification means for users to receive real-time location information and health management notifications on their terminals. This allows local residents to receive important information related to their daily lives in one place and improve the efficiency of their lives. 【0692】 A "community group" refers to a collection of residents or users who live together in a specific geographical area. 【0693】 A "waste management plan" refers to information that includes a schedule of collection dates and methods necessary for a community to efficiently manage waste. 【0694】 An "information base" is a digital data storage system for accumulating various types of data related to a local community. 【0695】 "Information integration means" are technological means for aggregating and centrally managing diverse information within a local community. 【0696】 "Information and communication means" refers to communication technologies and media used to transmit specific information between users. 【0697】 "Control means" refers to a technology or process for managing and operating specific functions or tasks within a system. 【0698】 "Tracking means" refers to technologies that monitor and record the dynamic location and state of specific objects or data in real time. 【0699】 "Planning data" refers to schedule information related to group activities and individual appointments. 【0700】 "Terminal" refers to various devices used by information systems and users for interaction. 【0701】 "Notification means" refers to a technology or method for transmitting specific information to a target user. 【0702】 "Speech analysis means" refers to technology that analyzes speech data and converts it into text data or other formats as needed. 【0703】 "Health management tools" are technologies that monitor the health status of a group and provide alerts and advice as needed. 【0704】 To realize this invention, the system utilizes a central server, terminals distributed to users, and a communication network connecting them. The server stores information about local groups in an information base and uses it to provide various services. The software running on the server includes a backend program based on the Django framework and numerous APIs that support information tracking and notification sending. Google Maps API is used for real-time location information, and Google Cloud Speech-to-Text is used for speech analysis. 【0705】 The devices are primarily the user's smartphone or smart glasses, and they run applications developed using React Native. This application centrally manages information on local activities and provides this information to users in real time. For example, the device displays waste disposal plans received from the server and provides reminders. Furthermore, it can display the current location of waste collection vehicles on a map and update the location in real time. 【0706】 Users can optimize their daily lives based on information delivered by the system. For the elderly and children, daily health data can be monitored through the health management function, and necessary alerts can be received if abnormalities are detected. These notifications are displayed as push notifications on the device, prompting consultation with a specialist if necessary. 【0707】 For example, even while a user is wearing smart glasses and taking a walk, they can check the location and arrival time of a garbage truck as an image and receive real-time notifications based on their personal health data. 【0708】 Examples of prompts include "Please tell me the waste collection date for next week" or "Please tell me the dates of any meetings I can attend." In this way, community activities can be efficiently managed using a generative AI model. 【0709】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0710】 Step 1: 【0711】 The server retrieves information about local communities from an information base. This information primarily includes residents' contact information, waste disposal schedules, meeting schedules, participant schedules, and health data. The input data is raw data from the information base, and the server processes it into the necessary format for use as schedule information and reminder notifications. 【0712】 Step 2: 【0713】 The server generates a reminder for each user regarding their waste disposal schedule, based on the waste disposal schedule. The generated reminders are sent through the residents' means of communication (e.g., email or push notifications). The input is schedule information, which the server appropriately converts for communication and outputs notification information. 【0714】 Step 3: 【0715】 The server tracks the location of waste collection vehicles using the Google Maps API and obtains their location information in real time. The user's device displays this information on a map and provides an estimate of the collection vehicle's arrival time. The input is location data, which the server outputs after retrieving the data via the API and converting it to a map format. 【0716】 Step 4: 【0717】 The user terminal receives and displays optimal date and time notifications sent from the server to assist in scheduling local community meetings. The input is the adjusted schedule information, which the terminal formats and outputs for display on the user interface. 【0718】 Step 5: 【0719】 The user's terminal records the audio during the meeting and sends the audio data to the server. The server uses Google Cloud Speech-to-Text to automatically transcribe the audio into text and generate meeting minutes. The input is audio data, which the server converts into text data and outputs. 【0720】 Step 6: 【0721】 The server analyzes health data received from each user and sends notifications to the user, such as alerts or recommendations to consult a doctor, if any abnormalities are detected. The input is daily health data, which the server processes using an analysis algorithm and outputs as notification information. 【0722】 Step 7: 【0723】 The user views various notifications received from the server on their device and takes action as needed. The device provides appropriate feedback to the user's actions. Input is notification information from the server, and output is generated based on the user's actions. 【0724】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0725】 This invention is configured as an AI system to streamline community activities and improve the quality of life for residents. The system is designed around a server, terminal, and user interface, providing a multi-functional platform for smoothly carrying out various tasks within local communities. 【0726】 In addition to its main functions of managing waste disposal schedules, coordinating meetings, and health management, the system now incorporates a new emotion engine that recognizes user emotions. This emotion engine allows the system to identify the user's emotional state and provide services and feedback accordingly. 【0727】 The server collects various information about local residents and stores it in a database. For waste disposal schedule notifications, the server uses resident data to select a preferred communication method and sends reminders. Residents receive notifications via their devices and can manage their waste appropriately. 【0728】 The emotion engine acquires voice and text data through the user's device and analyzes it on the server. This analysis allows the system to identify the user's emotional state and provide information and suggestions tailored to that state. For example, if the user is feeling stressed, it can suggest relaxing activities or health-related guidance. 【0729】 This allows the server to provide timely and appropriate support in various aspects of daily life, improving user satisfaction and quality of life. Furthermore, by comprehensively evaluating the user's physical and emotional state, it enables an approach based on the relationship between health and emotions, contributing to overall health management. 【0730】 As a concrete example of its use, when a user engages in everyday conversation, the emotion engine analyzes their voice, and the server reflects the results in a health management system. If it determines that stress levels are high, the server notifies the user of relaxation techniques. In this way, the system supports local residents, making their daily lives safer and more fulfilling. 【0731】 The following describes the processing flow. 【0732】 Step 1: 【0733】 The server prepares a platform for centrally collecting user voice and text data. This data is received in real time when the user accesses the system and begins voice input. 【0734】 Step 2: 【0735】 The device records the user's voice data, converts it to text, and sends it to the server. This conversion is designed to allow the user to use the interface in a more natural way. 【0736】 Step 3: 【0737】 The server sends the received audio and text data to the emotion engine for analysis. The emotion engine processes this data to determine the user's emotional state. 【0738】 Step 4: 【0739】 The emotional state analyzed by the emotion engine is returned to the server. Based on the obtained emotional state information, the server prepares appropriate feedback and suggestions for the user. 【0740】 Step 5: 【0741】 The server sends notifications to the user's device based on the results. For example, if the user is feeling stressed, it might send messages such as "Here's how to take deep breaths to relax" or "We recommend a short walk." 【0742】 Step 6: 【0743】 Users receive notifications from the server through their devices and modify or improve their behavior based on that feedback. This improves their quality of life. 【0744】 Step 7: 【0745】 The server continuously collects user feedback and uses it to fine-tune the performance of the sentiment engine. This data forms the foundation for providing more personalized support in the long term. 【0746】 (Example 2) 【0747】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0748】 In modern communities, there is a need to provide personalized information and services to individual residents, but traditional systems are insufficient to provide efficient and effective support in areas closely related to daily life, such as waste management, community coordination, and healthcare. Furthermore, there is a challenge in providing individualized support that takes emotional states into consideration. 【0749】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0750】 In this invention, the server includes a management means that retrieves resident information from a storage device and notifies residents of the waste disposal schedule via an electronic communication device; a scheduling means that collects participants' schedule information and suggests appropriate meeting dates; and an emotion analysis means that analyzes the user's voice and text data, identifies emotional information, and provides appropriate services. This makes it possible to provide personalized notifications and services to local residents, thereby improving their quality of life. 【0751】 "Resident information" refers to data about individual residents in a local community, including contact information and preferred means of communication. 【0752】 A "communication device" is a means of sending and receiving information via an electronic device, enabling things like email, SMS, and app notifications. 【0753】 "Waste disposal schedules" refer to the schedules indicating the days when waste collection takes place within a region, and are essential information for residents to properly dispose of their waste. 【0754】 "Schedule information" refers to data showing the schedules of participants in the local community, and is used to coordinate meeting dates. 【0755】 A "meeting day" refers to a day when multiple participants agree to gather, and it is the most suitable date that has been coordinated. 【0756】 "Emotional information" refers to information about a user's psychological state obtained by analyzing their voice and text data, and is useful for understanding their state in daily life. 【0757】 "Emotional analysis methods" refer to processes and technologies that identify a person's emotional state based on data acquired from the user, enabling the provision of appropriate feedback and services. 【0758】 In its embodiment, this system is comprised primarily of a server, terminals, and user interfaces. This system is a multi-functional platform for efficiently providing information and services to residents of a local community. 【0759】 The server collects and stores data using storage devices to centrally manage resident information. A database system like MySQL is used for this purpose. The server operates by interfacing with electronic communication devices such as email, SMS gateways, and mobile apps to send notifications based on the contact methods registered by residents. 【0760】 The terminal functions as an interface for users to input voice and text information. Mainstream computing devices such as smartphones and tablets are used as terminals. This allows users to provide everyday emotional information, which the terminal then sends to a server. 【0761】 The generative AI model is built to analyze speech and text data and is implemented using the natural language processing library NLTK, the sentiment analysis library TextBlob, and the Python programming language. This identifies the user's emotional state and generates feedback based on the results. 【0762】 For example, suppose a user types "I'm so tired from work today" on their smartphone at the end of the day. The device sends this text data to a server, where a generative AI model analyzes it. An example of a prompt might be, "Analyze the user's voice data to identify their emotional state and provide appropriate feedback." Based on this analysis, the server provides feedback to the user such as, "You might want to try a short meditation." This allows residents to live more fulfilling lives. 【0763】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0764】 Step 1: 【0765】 The server retrieves local residents' personal information and preferred communication methods from storage devices and stores them in a database. The input includes the resident's registered name, address, contact information, and preferred communication methods. The server then organizes this information and stores it in the database. Specifically, the server automatically records the information collected during resident registration into a MySQL database. 【0766】 Step 2: 【0767】 The server manages waste collection schedules based on information in the database and creates appropriate reminders based on registered communication methods. Inputs include waste collection schedules and residents' preferred communication methods, and the server outputs notifications via email or SMS. Specifically, the server automatically retrieves regularly updated waste collection schedules and sends reminders to residents according to pre-configured rules. 【0768】 Step 3: 【0769】 The user inputs voice or text data via the device. This input includes user statements and recorded journal entries, and the device then outputs this data to a server for sentiment analysis. Specifically, the user uses their smartphone's microphone to make emotional statements, which are then converted into text and sent to the server. 【0770】 Step 4: 【0771】 The server passes the received audio or text data to a generating AI model for emotional analysis. The input is the user's audio or text data, which is then output as an analysis result based on their emotional state. Specifically, it utilizes TextBlob, a Python-based emotion analysis library, to determine positive, negative, or neutral emotions from the input data. 【0772】 Step 5: 【0773】 The server provides users with appropriate feedback and services based on the analysis results. It takes user emotional state data as input and outputs such as health advice and relaxation suggestions. Specifically, for users experiencing high stress levels, it automatically generates suggestions such as, "Try meditating for 10 minutes today," and notifies the user's device. 【0774】 (Application Example 2) 【0775】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0776】 To improve the efficiency of community activities and enhance the quality of life for residents, it is necessary to smoothly integrate multiple elements such as waste management, community scheduling, health monitoring, and understanding individual emotional states. However, the current system, which manages these elements separately, is inefficient and makes it difficult to provide appropriate and timely support to residents. 【0777】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0778】 In this invention, the server includes a management means that retrieves resident information from a database and sends reminders via appropriate communication means to notify local residents of the waste disposal schedule; a tracking means that provides residents with real-time location information of waste collection means; a scheduling management means that collects participants' schedule data to coordinate community meeting schedules and provides optimal dates; a speech recognition means that automatically records and transcribes the content of participants' meetings; a health management means that monitors the health status of the elderly and children and provides reminders as needed; and an emotion analysis means that analyzes the user's emotional state and provides information and suggestions based on that state. This makes it possible to provide integrated and efficient life support to local residents. 【0779】 A "management system" is a system that has the function of obtaining resident information from a database and sending reminders via appropriate communication means in order to notify local residents of the waste disposal schedule. 【0780】 A "tracking device" is a device that has the function of providing residents with real-time location information of waste collection devices. 【0781】 A "schedule management system" is a device that collects participants' availability data and provides the optimal schedule for coordinating meetings within a local community. 【0782】 "Voice recognition means" refers to a device that has the function of automatically recording and transcribing the content of the participants' meeting into text. 【0783】 A "health management tool" is a device that monitors the health status of the elderly and children and provides reminders as needed. 【0784】 An "emotion analysis tool" is a device that analyzes a user's emotional state and provides information and suggestions based on that state. 【0785】 This invention is an integrated system designed to improve the living environment of a region, and is capable of notifying local residents about waste disposal, managing meeting schedules, monitoring health conditions, and analyzing emotional states. 【0786】 The server retrieves information on local residents from a database and sends reminders about waste disposal schedules using appropriate communication methods. Google Cloud's communication API can be used for this purpose. Furthermore, GPS technology is utilized to provide real-time location information for waste collection methods. 【0787】 The device collects participants' schedule data and suggests the optimal date to coordinate local meeting times. This uses cloud-based scheduling software. To record and transcribe the meeting content, it utilizes a speech recognition API and converts the information into text through a natural language processing library. 【0788】 Users report their daily health status via their devices and receive reminders and necessary advice through health management tools. The health data is stored in the cloud, and Azure's machine learning services are used for analysis. 【0789】 Furthermore, the device is equipped with emotion analysis capabilities that analyze the user's voice and text to determine their emotional state. For example, if the user is feeling anxious, a generative AI model is used to suggest activities for relaxation. 【0790】 For example, if a user says something like, "I'm a little tired today," the emotion engine analyzes this statement and supports the user by recommending things like listening to music or meditating. 【0791】 An example of a prompt for a generative AI model is, "If the user is feeling stressed, please suggest some effective relaxation methods." 【0792】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0793】 Step 1: 【0794】 The server queries the resident information database to extract waste disposal schedules. The input is the resident information database, and the output is the waste disposal schedule for each resident. Based on the information from the database, it generates appropriate reminders. 【0795】 Step 2: 【0796】 The server selects the appropriate communication method and sends a waste disposal reminder to the resident's terminal. The input is the waste disposal schedule obtained in step 1, and the output is the reminder notification displayed on the resident's terminal. A communication API is used to send notifications in a format that suits the user's preferences. 【0797】 Step 3: 【0798】 The terminal collects participants' schedule data and sends it to the server. The input is each participant's schedule, and the output is aggregated data of the participants' schedules. This aggregated data is used to calculate the optimal meeting date. 【0799】 Step 4: 【0800】 The server uses a speech recognition API to convert audio data acquired during a meeting into text. The input is audio data, and the output is the transcribed meeting content. The system analyzes the audio signal and automatically transcribes important meeting minutes into text. 【0801】 Step 5: 【0802】 Users input their daily health status into a device and send it to the server. The input is health status data, and the output is a health status report. The health management system analyzes this data and provides necessary advice and reminders. 【0803】 Step 6: 【0804】 The device analyzes the user's voice and text and uses emotion analysis tools to determine their emotional state. Input is voice or text data, and output is emotional state evaluation data. A generative AI model analyzes this data to generate suggestions such as relaxation activities. 【0805】 Step 7: 【0806】 The server sends the generated suggestions to the terminal, providing support information to the user. The input is the suggestion data from the generating AI model, and the output is the suggested content displayed on the terminal. The notification function allows users to receive appropriate support immediately. 【0807】 The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0808】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0809】 In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0810】 Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0811】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0812】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0813】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0814】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0815】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0816】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0817】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0818】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0819】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0820】 Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12. 【0821】 Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0822】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory. 【0823】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0824】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0825】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0826】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0827】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference. 【0828】 The following is further disclosed regarding the embodiments described above. 【0829】 (Claim 1) 【0830】 A management system that notifies local residents of the waste disposal schedule by retrieving resident information from a database and sending reminders via appropriate communication means, 【0831】 A tracking system that provides residents with real-time location information of waste collection machines, 【0832】 A scheduling tool that collects participants' schedule data to coordinate the date and time of local community meetings and provides the optimal date, 【0833】 A voice analysis method that automatically records and transcribes the content of the participants' meeting, 【0834】 A health management system that monitors the health status of the elderly and children and provides reminders as needed, 【0835】 A system that includes this. 【0836】 (Claim 2) 【0837】 The system according to claim 1, characterized in that the notification of the waste disposal schedule is carried out by a communication method that is in accordance with the registered resident's preference. 【0838】 (Claim 3) 【0839】 The system according to claim 1, characterized in that the health management means receives daily health reports from the user and includes notifications recommending consultation with a specialist when an abnormality is detected. 【0840】 "Example 1" 【0841】 (Claim 1) 【0842】 A notification system that extracts information from a data storage system containing information on local residents and uses the most appropriate communication method to send schedule notifications, 【0843】 A location information management system that acquires the location of mobile collection equipment in real time and provides it to residents, 【0844】 A meeting scheduling tool that aggregates participants' time data and calculates the most convenient meeting date and time, 【0845】 A voice processing device for transcribing and sharing audio recorded during a meeting, 【0846】 A health maintenance tool that collects and analyzes health information daily and sends advice when needed, 【0847】 A system that includes this. 【0848】 (Claim 2) 【0849】 The system according to claim 1, wherein the notification means provides schedule information based on a communication means specified by the resident. 【0850】 (Claim 3) 【0851】 The system according to claim 1, wherein the health maintenance means includes evaluating daily health data and suggesting contact with a specialist if an out-of-standard value is detected. 【0852】 "Application Example 1" 【0853】 (Claim 1) 【0854】 A control means that, in order to notify local communities of waste disposal plans, acquires community information from an information base and transmits reminders via appropriate information and communication means, 【0855】 A tracking method that provides real-time location information of waste collection devices to a group, 【0856】 A scheduling tool that collects user planning data to coordinate meeting times for local members and provides the optimal time, 【0857】 A voice analysis method that automatically records and transcribes the content of meetings attended by participants, 【0858】 A health management system that monitors the health status of the elderly and children and provides reminders as needed, 【0859】 An information integration tool for centrally managing information on local activities, 【0860】 A notification method that allows users to receive real-time location information and health management notifications on their devices, 【0861】 A system that includes this. 【0862】 (Claim 2) 【0863】 The system according to claim 1, characterized in that the notification of the waste disposal plan is carried out by an informational means that is tailored to the preferences of the registered group. 【0864】 (Claim 3) 【0865】 The system according to claim 1, characterized in that the health management means receives daily health information from the user and includes notifications recommending consultation with a specialist when an abnormality is detected. 【0866】 "Example 2 of combining an emotion engine" 【0867】 (Claim 1) 【0868】 A management means that retrieves resident information from a storage device and notifies the waste disposal schedule via an electronic communication device, 【0869】 A tracking means that provides location information of a waste collection vehicle to a display device, 【0870】 A scheduling tool that collects participants' availability information and suggests appropriate meeting dates, 【0871】 A voice analysis device that analyzes speeches during a meeting and records them as text information, 【0872】 A health management system that observes the physical condition of the elderly and minors and provides notification when a warning is needed, 【0873】 A sentiment analysis means that analyzes user voice and text data, identifies emotional information, and provides appropriate services. 【0874】 A system that includes this. 【0875】 (Claim 2) 【0876】 The system according to claim 1, wherein notification of the waste disposal schedule is performed by a communication method selected based on registered information. 【0877】 (Claim 3) 【0878】 The system according to claim 1, wherein the health management means evaluates the user's emotional information and generates a notification including relaxation suggestions when psychological stress is detected. 【0879】 "Application example 2 when combining with an emotional engine" 【0880】 (Claim 1) 【0881】 A management system that notifies local residents of the waste disposal schedule by retrieving resident information from a database and sending reminders via appropriate communication means, 【0882】 A tracking system that provides residents with real-time location information of waste collection methods, 【0883】 A scheduling management system that collects participants' availability data to coordinate meeting dates for local communities and provides the optimal schedule, 【0884】 A speech recognition method that automatically records and transcribes the content of the participants' meeting, 【0885】 A health management system that monitors the health status of the elderly and children and provides reminders as needed, 【0886】 A sentiment analysis tool that analyzes the user's emotional state and provides information and suggestions based on that state, 【0887】 A system that includes this. 【0888】 (Claim 2) 【0889】 The system according to claim 1, characterized in that the notification of the waste disposal schedule is carried out by a means of communication that is in accordance with the preferences of the registered residents. 【0890】 (Claim 3) 【0891】 The system according to claim 1, characterized in that the health management means receives daily health reports from the user and includes notifications recommending consultation with a specialist when an abnormality is detected. [Explanation of Symbols] 【0892】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A management system that notifies local residents of the waste disposal schedule by retrieving resident information from a database and sending reminders via appropriate communication means, A tracking system that provides residents with real-time location information of waste collection machines, A scheduling tool that collects participants' schedule data to coordinate the date and time of local community meetings and provides the optimal date, A voice analysis method that automatically records and transcribes the content of the participants' meeting, A health management system that monitors the health status of the elderly and children and provides reminders as needed, A system that includes this. [Claim 2] The system according to claim 1, characterized in that the notification of the waste disposal schedule is carried out by a communication method that suits the preferences of the registered residents. [Claim 3] The system according to claim 1, characterized in that the health management means receives daily health reports from the user and includes notifications recommending consultation with a specialist when an abnormality is detected.

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